Generating a task-adapted acoustic model from one or more supervised and/or unsupervised corpora
US7031918B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 20, 2002 |
| Grant date | Apr 18, 2006 |
| Priority date | — |
| Expiry date | Feb 23, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/183
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Unsupervised speech data is provided to a speech recognizer that recognizes the speech data and outputs a recognition result along with a confidence measure for each recognized word. A task-related acoustic model is generated based on the recognition result, the speech data and the confidence measure. Additional task independent model can be used. The speech data can be weighted by the confidence measure in generating the acoustic model so that only data that has been recognized with a high degree of confidence will weigh heavily in generation of the acoustic model. The acoustic model can be formed from a Gaussian mean and variance of the data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.